学习与低保真原型交互的手势

2012 First International Workshop on Realizing AI Synergies in Software Engineering (RAISE) Pub Date : 2012-06-05 DOI:10.1109/RAISE.2012.6227967

Tulio de Souza Alcantara, J. Denzinger, Jennifer Ferreira, F. Maurer

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引用次数: 4

摘要

本文提出了一种方法来帮助设计人员创建自己的特定于应用程序的手势，并基于他们正在设计的应用程序的低保真原型在用户研究中评估它们。为了学习自定义手势，我们开发了一种机器学习工具，该工具使用反统一算法根据设计师提供的手势样本进行学习。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Learning gestures for interacting with low-fidelity prototypes

This paper presents an approach to help designers create their own application-specific gestures and evaluate them in user-studies based on low fidelity prototypes of the application they are designing. In order to learn custom gestures, we developed a machine learning tool that uses an anti-unification algorithm to learn based on samples of the gesture provided by the designer.

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2012 First International Workshop on Realizing AI Synergies in Software Engineering (RAISE)

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